From ba86a7c64908a0e9661d967790c33d9fd0092e7b Mon Sep 17 00:00:00 2001 From: Jan Eglinger Date: Thu, 7 Mar 2024 10:31:11 +0100 Subject: [PATCH] wip --- pyproject.toml | 2 ++ src/faim_wako_searchfirst/segment.py | 30 ++++++++++++++++++++++ tests/resources/classifier.model | Bin 0 -> 797262 bytes tests/resources/classifier.model.license | 3 +++ tests/test_weka_classifier.py | 31 +++++++++++++++++++++++ 5 files changed, 66 insertions(+) create mode 100644 tests/resources/classifier.model create mode 100644 tests/resources/classifier.model.license create mode 100644 tests/test_weka_classifier.py diff --git a/pyproject.toml b/pyproject.toml index ed5d696..eb16aaa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,8 +29,10 @@ classifiers = [ dependencies = [ "cellpose", "confuse", + "pyimagej", "rich", "scikit-image", + "scyjava", "tqdm", "typer" ] diff --git a/src/faim_wako_searchfirst/segment.py b/src/faim_wako_searchfirst/segment.py index 09c4bbe..8fe15f0 100644 --- a/src/faim_wako_searchfirst/segment.py +++ b/src/faim_wako_searchfirst/segment.py @@ -72,3 +72,33 @@ def cellpose( **kwargs, ) return mask + + +def weka_classifier( + img, + classifier_path: Path, + logger=logging, +): + """Apply a classifier.model file. + + Use Trainable Weka Segmentation (via pyimagej) + to apply a trained classifier to the input image. + """ + import imagej + from scyjava import jimport + + logger.info("Initializing ImageJ...") + ij = imagej.init("sc.fiji:fiji:2.15.0") + + WekaSegmentation = jimport("trainableSegmentation.WekaSegmentation") + + logger.info("Starting Trainable Segmentation plugin...") + segmenter = WekaSegmentation(ij.py.to_imageplus(img)) + logger.info(f"Loading classifier from {classifier_path}.") + segmenter.loadClassifier(str(classifier_path)) + segmenter.applyClassifier(False) + # get result imp + # convert imp from_java + result = ij.py.from_java(segmenter.getClassifiedImage()) + ij.dispose() + return label(result, 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